72 results about "Sprung mass" patented technology

The invention provides an anti-rollover control method and system for an electric automobile, and relates to the field of automobile body posture control. The control method comprises the following steps: collecting vehicle driving data; calculating a transverse load transfer rate based on the vehicle driving data, and calculating a comprehensive risk index in combination with the transverse load transfer rate and a sprung mass roll angle; the method comprises the following steps: presetting a comprehensive risk index early warning threshold value and a comprehensive risk index danger threshold value, judging the rollover working condition and the comprehensive risk index of the automobile, and executing a corresponding rollover prevention control strategy: when the rigidity of the suspension is changed, the comprehensive risk index still increases and exceeds the comprehensive risk index danger threshold value; the anti-rollover moment is changed by changing the control force of the suspensions on the two sides. After the suspension control force suppresses roll for a certain period of time, the comprehensive risk index is still not reduced to be below the early warning threshold value, the active steering system intervenes in combined control, the active steering system has two steering modes including front wheel steering and four-wheel steering, and different steering modes are used under different working conditions.

The invention discloses a driving and braking integrated electric wheel system with a multi-connecting-rod type braking function. A wheel unit, a planetary gear reducer, a multi-connecting-rod type braking system, a hub motor, a wheel support and an electromagnetic clutch are integrated. According to the system, the working state of a hub motor is controlled to be matched with an electromagnetic clutch to conduct multi-mode switching, the five working modes of driving, pure electric braking, composite braking, reversing braking and parking braking can be achieved, a gear ring structure is machined on the inner edge of a rim of a wheel unit, the utilization rate of the space in a wheel is increased, and the service life of the wheel unit is prolonged. Meanwhile, the hub motor serves as a multiplex power source for driving and braking work and is matched with a multi-connecting-rod transmission scheme adopted by the braking system, the driving and braking integrated function can be achieved, the energy utilization rate of the whole vehicle is improved, a conventional braking execution motor and a speed reducer thereof are omitted, sprung mass is greatly reduced, and the cost is reduced. The control performance and the driving smoothness of the whole vehicle can be improved, and great significance is achieved for high-integration and modularization research of the distributed driving technology.

The invention relates to the technical field of control systems, and discloses a control system for a magneto-rheological semi-active suspension, comprising an acceleration sensor configured to collect vibration acceleration signals of sprung mass and unsprung mass of a vehicle; the displacement sensor is configured to monitor the dynamic deflection of the suspension; the gyroscope is configured to obtain attitude information of a pitch angle and a roll angle of the vehicle body; the vehicle speed sensor is configured to detect the vehicle running speed in real time; the binocular camera is configured to collect pavement environment image information; the magneto-rheological damper is configured to adjust the damping force according to the current of the electromagnetic coil; the MCU controller comprises a signal acquisition module, a control processing module, a current driving module and a current sampling module; the signal acquisition module is configured to convert a sensor signal into a physical quantity; the control processing module is configured to fuse multi-source information to calculate expected damping force; the current driving module is configured to output PWM driving current to the magnetorheological damper; and the current sampling module is configured to feed back an actual current value to realize closed-loop control.

The invention provides an active suspension control method and system based on structural constraints and a bionic reference model, and relates to the technical field of active suspension control, and the method comprises the steps: S1, building a two-degree-of-freedom active suspension system model, and designing a disturbance observer to determine disturbance influence parameters; s2, establishing a bionic reference model to provide a reference tracking trajectory for motion control in the two-degree-of-freedom active suspension system; s3, setting a suspension mechanical structure hard constraint condition, and designing a nonlinear coordination function to balance the smoothness of the vehicle and the suspension deflection; s4, designing a preset performance controller according to the sprung mass vertical displacement tracking error; and S5, outputting the final active control force of the controller to realize two-degree-of-freedom active suspension system control. The sprung quality tracking trajectory error is controlled through the preset performance controller; and through a nonlinear coordination function, an active suspension control target is adjusted, and the suspension stroke is prevented from exceeding the structural limitation.

The invention discloses a multi-mode integrated redundancy driving and braking integrated electric wheel system. The system comprises a hub motor, a first-stage planetary gear train, a second-stage planetary gear train, a braking system, a wheel unit and a bearing system. According to the system, two sets of planetary gear trains are used for composite transmission, and multi-mode gear shifting operation of the planetary gear trains is matched, so that the hub motor can serve as an execution motor responsible for driving work of the wheel unit and braking work of the braking system at the same time, and the system has the functions of driving, traveling braking, reversing braking and parking braking; driving and braking integrated design and control of the electric wheel system can be achieved, the energy utilization rate of the whole vehicle is improved to the maximum extent, meanwhile, due to the fact that a braking system execution motor and a speed reducer thereof are omitted, sprung mass is greatly reduced, controllability and driving comfort of the whole vehicle are improved, and cost is reduced. The electric wheel system has great significance in light weight and high integration design, in addition, the system has a redundant function in service braking and parking braking, and the safety is improved.

The invention relates to the technical field of vehicle electric control suspensions, in particular to a chassis prediction control system and method based on binocular vision and multi-domain cooperation, and constructs the chassis prediction control system based on binocular vision and multi-domain cooperation based on an ADAS binocular camera. IMU data of a binocular camera is obtained by using a data acquisition module of the chassis prediction control system, visual observation data of a vehicle body is obtained by using a binocular visual processing module, and then the IMU data and the visual observation data are fused and converted into a three-dimensional image by using modules such as an extended Kalman filtering fusion module and a motion conversion module. The sprung mass vertical acceleration and sprung mass vertical speed of the vehicle four-corner suspension provide accurate suspension four-corner vertical motion state input for an electric control suspension controller, and the accuracy and real-time performance of the electric control suspension for vehicle body posture control are guaranteed. Meanwhile, the problems that a special IMU is difficult to arrange, high in cost and insufficient in precision and IMU resources of an ADAS system are wasted are solved.

The invention provides a control method for reducing pitching of an electric vehicle, a motor controller and the electric vehicle, and is applied to the technical field of electric vehicles, and the control method is used for adjusting torque output by a driving system in the process that the electric vehicle passes through a deceleration strip so as to improve the driving comfort. The output torque is adjusted by actively controlling the front drive motor and the rear drive motor, the backward moving degree of the gravity center of the electric vehicle is adjusted, the sprung mass of the front suspension and the sprung mass of the rear suspension are adjusted, the offset frequency of the wheel ends of the suspensions is rapidly adjusted, and the heights of the front suspension and the rear suspension change at the same frequency (for example, compression and bounce at the same time); the front axle and the rear axle of the electric vehicle are changed at the same frequency, pitching of the electric vehicle is reduced, and the driving comfort is improved in the process that the electric vehicle passes through the deceleration strip. And after the two rear wheels leave the deceleration strip, the front-drive motor and the rear-drive motor are actively controlled to adjust the output torque, the same-frequency change of the front shaft and the rear shaft of the electric vehicle is rapidly controlled, and the pitching of the electric vehicle is reduced.

The present invention belongs to the field of vehicle engineering technology, and specifically relates to a method for optimizing the rollover index of a multi-axle special vehicle. Step 1: Establish a dynamic model of a multi-axle special vehicle, and test the established multi-axle whole vehicle dynamic model; Step 2: Based on the multi-axle special vehicle dynamic model established in step 1, further establish a rollover dynamic model of the multi-axle special vehicle, and establish a rollover evaluation index LTR for the rollover dynamic model; Step 3: Establish an optimization method for the LTR transient value and warning threshold of step 2. Trucksim is used to establish a dynamic model of a multi-axle special vehicle whose dynamic characteristics are highly consistent with those of the actual vehicle. The influence of the roll moment of the sprung mass and the unsprung mass on the vertical load difference of the wheels on both sides, as well as the influence of vehicle speed and road environment changes on the rollover warning threshold are comprehensively considered. The calculation of LTR and LTR threshold is optimized, thereby improving the rollover warning accuracy of the special vehicle anti-rollover control.

The embodiment of the invention discloses a driving vehicle comfort control method and device and electronic equipment. The method comprises the steps that vector features corresponding to information of protrusions in front of a vehicle are obtained; in response to the condition that the vector feature meets a preset first control condition, determining a parameter group matched with the vector feature in a preset database based on a Hash algorithm, so as to adjust the opening degree of an electromagnetic valve of the shock absorber based on a damping coefficient in the parameter group; and based on the current speed and the current sprung mass of the vehicle, the damping coefficient is adjusted through a PID control algorithm. In the embodiment of the invention, the existing vehicle-mounted sensors (a wheel speed sensor, a longitudinal acceleration sensor, a motor torque signal and a camera) can be completely reused to construct a sensing network of the preview system, and the effect close to that of an advanced preview system can be achieved without additionally invested hardware cost of a high-precision laser radar and a double-cavity air suspension. And the method can be adapted to middle and low-end vehicles to meet the driving comfort requirements of middle and low-end users.

A system for determining a displacement velocity signal for controlling an active wheel suspension of a land vehicle by open-loop and / or closed-loop control includes at least one Kalman filter, and at least one acceleration sensor arranged on a sprung mass of the land vehicle to sense a vertical acceleration of the sprung mass and to generate a corresponding acceleration signal supplied to the Kalman filter. The Kalman filter includes a mathematical motion model of the sprung mass, and input states of the Kalman filter include a vertical acceleration of the sprung mass, a vertical displacement velocity of the sprung mass, and a vertical displacement distance of the sprung mass. A displacement measurement signal having a value 0 is supplied continuously to the Kalman filter to determine the displacement velocity signal. Constant noise variance values of a measurement noise covariance matrix of the Kalman filter that are assigned to the displacement measurement signal are, in each case, set at one half of a maximum vertical displacement distance of the sprung mass.

The application belongs to the technical field of new energy vehicle dynamics control and energy management, and particularly relates to a power distribution method for a distributed drive vehicle in a variable-gradient transition working condition. First, a four-degree-of-freedom half-vehicle suspension dynamics model containing sprung mass vertical motion, pitching motion and front and rear unsprung mass vertical motion is constructed, Kalman filtering is used to fuse inertial measurement unit and suspension height sensor signals to observe front and rear axle dynamic normal loads in real time; based on the dynamic loads and a magic formula tire model, the upper limits of front and rear motor safe torques are calculated; finally, a hierarchical distribution strategy combining offline global efficiency optimization and online safety constraint compensation is used: an optimal driving mode table and an optimal distribution ratio table are generated offline, and after a reference torque is obtained by online table lookup, constraint checking and axle torque compensation are performed based on a dynamic safety boundary. The application realizes predictive slip control in a cross-gradient transient working condition, ensures driving stability and takes into account system efficiency in all working conditions.

The embodiment of the invention relates to the technical field of vehicle intelligent sensing and control, and discloses a road condition recognition method and device and a vehicle, and the method comprises the steps: for at least one wheel of the vehicle, obtaining a first vertical speed signal and a second vertical speed signal corresponding to each wheel; the first vertical speed signal represents the vertical speed of the sprung mass at the corresponding wheel position, and the second vertical speed signal is used for representing the vertical speed of the unsprung mass at the corresponding wheel position; determining an obstacle recognition condition corresponding to each wheel according to the first vertical speed signal and the second vertical speed signal; and determining obstacle information identified by the vehicle according to the obstacle identification conditions of all the wheels. By applying the technical scheme of the invention, the real-time and accurate recognition of the obstacle crossing event of the vehicle can be realized by fusing the dynamic response characteristics of the sprung mass and the unsprung mass and combining the multi-level collaborative arbitration logic.

The present invention discloses a suspension optimization method, system, device, equipment and medium. The method includes: before the target vehicle travels to the current position point, obtaining the road surface roughness level of the current position point from a set list according to the position coordinates of the target vehicle; obtaining the sprung mass classification of the target vehicle according to the sprung mass of the target vehicle and the sprung mass classification standard; combining the sprung mass classification of the target vehicle and the road surface roughness level of the current position point to obtain a target group; obtaining suspension optimization parameters corresponding to the target group from a pre-set optimization template, and controlling the target vehicle to optimize the suspension parameters by using the suspension optimization parameters. Through the technical solution of the present invention, it is possible to efficiently and accurately optimize the suspension of the vehicle, improving the comfort of the vehicle and the possibility of passing through different road conditions.

The embodiment of the invention relates to the technical field of vehicles, and discloses a pit identification method and device, and the method comprises the steps: obtaining the vertical speed information of the sprung mass and the vertical speed information of the unsprung mass of each wheel of a vehicle; determining speed characteristic information of each wheel according to the vertical speed information of the sprung mass and the vertical speed information of the unsprung mass of each wheel; and according to the speed characteristic information of each wheel, determining a pit identification result of the vehicle. By applying the technical scheme of the invention, the problem of poor accuracy of pit identification in the prior art can be solved.

The application discloses a suspension control system and a control method thereof, and belongs to the field of vehicle control technology. The suspension control system comprises a suspension system, a fuzzy adaptive PID controller, a magnetorheological damping force limiter, a magnetorheological damper controller and an inertance coefficient adjusting unit, the inertance container is a variable inertance inertance container; a sprung mass acceleration sensor transmits a signal to the fuzzy controller to obtain a target damping force, and the force is input to the magnetorheological damper controller through the magnetorheological damping force limiter, and the magnetorheological damper controller provides an actual damping force to the suspension system; the optimal controller is designed, the non-sprung mass acceleration x t , displacement x t -x b , x b -x r and the actual damping force are weighted to obtain an optimal inertance coefficient under a current road condition. The system and the method can convert wheel resonance into inertance container resonance, the control method is beneficial to separately controlling the inertance coefficient under different road conditions, can be combined with the magnetorheological damper for joint control, can adjust parameters in real time, and realizes optimal comprehensive performance of the system under all road conditions.

The invention discloses a new energy automobile quarter active suspension comprehensive test bench, which relates to the technical field of new energy automobiles and comprises an iron floor, an actuator assembly is arranged at one end of the iron floor, and a sprung mass block guide device is arranged on one side, close to the actuator assembly, of the iron floor. A mass block lifting device is installed at the top end of the sprung mass block guiding device, a measured piece body is arranged at the top end of the actuator assembly, and a first measured piece fixing support connected through a bolt is arranged at the end, close to the measured piece body, of the sprung mass block guiding device. According to the device, the actuator assembly is arranged in the middle of the to-be-tested piece, the to-be-tested piece is locked through the binding band, the wheel fixing device adopts a U-shaped groove design, the to-be-tested piece body can be accurately positioned in the center of the actuator assembly, the wheel can be prevented from deviating, and then the dynamic behavior of a single wheel in real driving can be truly simulated through cooperation of the actuator assembly and the sprung mass block guiding device.

The invention relates to an impact load-oriented electro-hydraulic servo active suspension feedback linearization sliding mode robust control method, which belongs to the technical field of vehicle active suspension and electro-hydraulic servo control, and comprises the following steps of: firstly, establishing a quarter vehicle two-degree-of-freedom active suspension model; the method comprises the following steps: step 2, constructing a nonlinear dynamic model of the electro-hydraulic servo actuator of the valve-controlled cylinder; step 3, designing a feedback linearization sliding mode composite controller and giving a stability proof; and step 4, carrying out controller parameter setting and simulation comparison. According to the feedback linearization sliding mode robust control method provided by the invention, the nonlinearity and parameter uncertainty of the actuator can be effectively compensated under the impact working conditions of a deceleration strip and the like, the piston displacement tracking error and sliding mode buffeting are remarkably reduced, sprung mass vibration is reduced, the vehicle driving smoothness and attitude stability are improved, and the method is suitable for large-scale popularization and application. The method is suitable for the field of vehicle hydraulic active suspension control.

The application discloses a wheeled armored vehicle dynamics simulation platform and a construction method, equipment and medium thereof, relates to the field of wheeled armored vehicle simulation, and comprises the following steps: based on a Lagrange dynamics method, a dynamics model of a wheeled armored vehicle is constructed; the dynamics model of the wheeled armored vehicle comprises a sprung mass dynamics model, an unsprung mass dynamics model and a turret system dynamics model; and the dynamics model of the wheeled armored vehicle is iteratively simulated and solved to obtain a simulation result of the wheeled armored vehicle. The application improves the refinement degree of the construction of the dynamics model of the wheeled armored vehicle.

The application provides a load-adjustable shock absorber electromagnetic valve. The load-adjustable shock absorber electromagnetic valve comprises a shell having a containing cavity, and the shell assembly has a first mounting opening and a second mounting opening respectively communicating with the containing cavity; an adjusting piece, one end of the adjusting piece being located outside the shell, the other end of the adjusting piece extending into the containing cavity through the first mounting opening, and at least a part of the adjusting piece being movable relative to the shell to change the length extending into the containing cavity; an electromagnetic core, the electromagnetic core being arranged in the containing cavity, and the adjusting piece abutting against the electromagnetic core; a push rod, the push rod being arranged in the containing cavity, and the push rod abutting against one end of the electromagnetic core away from the adjusting piece; a piston, at least a part of the piston extending into the containing cavity through the second mounting opening; and one end of a first elastic piece abutting against one end of the push rod away from the electromagnetic core. The application solves the problem that the shock absorber electromagnetic valve in the prior art cannot adaptively adjust the adjustable damping range according to the sprung mass.

An electronically controlled suspension system for a motor vehicle having a sprung mass, an unsprung mass, and a control arm attached between the sprung and unsprung masses, may include an active mass damper and a driver to control the active mass damper, wherein the active mass damper is mounted to the control arm such that a first force applied by the active mass damper to the unsprung mass through the control arm is a fraction of a total force applicable by the active mass damper and a second force applied by the active mass damper to the sprung mass through the control arm is a remaining fraction of the total force, wherein the fraction is defined by a ratio of a distance of the active mass damper from the one end of the control arm and a length of the control arm.

A method for electro-hydraulic brake force distribution of a pure electric vehicle, including establishing a kinematic model of the sprung mass of the vehicle; discretizing the kinematic model of the sprung mass to obtain a vehicle state prediction model; establishing an objective function of the brake force distribution controller, setting constraint conditions for the objective function of the distribution controller, and calculating the target motor braking torque and the target hydraulic braking torque according to the vehicle state prediction model and the objective function of the distribution controller. This method can balance braking safety and energy recovery efficiency and reasonably distribute the electro-hydraulic brake force.

The invention discloses a control method of a multiplex power drive and brake integrated electric wheel system. The control method comprises the steps of a structure scheme of the multiplex power drive and brake integrated electric wheel system, multi-mode function and application scene division, multi-mode switching control method design and switching rule making. According to the electric wheel system, the wheel unit, the knuckle, the hub motor, the planetary gear reducer, the electronic wedge-shaped brake and the electromagnetic clutch are integrated, the hub motor is a power multiplexing unit for driving and braking work, a conventional braking execution motor and a speed reducer thereof are omitted, sprung mass is greatly reduced, and meanwhile the braking efficiency is improved. The electric wheel system can be matched with an electromagnetic clutch, switching of five working modes including driving, pure electric braking, compound braking, reversing braking and parking braking is achieved through the control method, the electric wheel system has various functions of a driving and braking integrated system, and the electric wheel system has great significance in driving and braking integrated cooperative control research of distributed driving.

The present application relates to the technical field of vehicle testing, and particularly to a method and device for measuring the moment of inertia of the sprung mass of a tractor, and related equipment; the method is applied to a tractor, a balanced suspension is provided on the tractor, and the sprung mass of the tractor can perform pitching vibration around the suspension spindle of the balanced suspension; the method includes: determining the leaf spring stiffness of the leaf springs on the tractor by moving the cab of the tractor; determining the vibration frequency of the sprung mass by vibrating the cab; wherein, the vibration frequency of the sprung mass is the degree of vibration when the sprung mass rotates around the axis of the balanced suspension spindle; determining the moment of inertia of the sprung mass of the tractor according to the leaf spring stiffness and the vibration frequency; the present application can solve the technical problem that the existing estimation method for the moment of inertia has a large error in the prior art.

A device (9) for adjusting the attitude of a motor vehicle comprises a cylindrical body (10) including a first flange (12) adapted to form an upper seat for a main spring of a vehicle suspension, said cylindrical body (10) defining a chamber (14b) in which two linear actuators (24, 30) are slidable, a first actuator being connected to a damper (22) adapted to form a limit stop for the oscillations of the sprung mass of the vehicle, and a second actuator (30) being configured to be connected to the sprung mass of the vehicle.

The invention provides a flatness prediction method and system based on a wavelet and a physical neural network, and relates to the technical field of road engineering, and the method comprises the steps: carrying out the calculation through a scale function of a dbN wavelet, and obtaining a first weight coefficient of a pavement longitudinal contour elevation function; solving the quarter vehicle dynamic equation, determining unsprung mass displacement and sprung mass displacement, and obtaining a second weight coefficient and a third weight coefficient corresponding to the unsprung mass displacement and the sprung mass displacement respectively through wavelet transform; training a preset deep learning network model by using the obtained weight coefficient, and determining a loss function of the preset deep learning network model; performing iterative optimization on the preset deep learning network model by using a Bayesian optimization algorithm and the loss function to obtain a target deep learning network model; and inputting the fourth weight coefficient of the to-be-measured pavement into the target deep learning network model, and determining the to-be-measured unsprung mass displacement, the to-be-measured sprung mass displacement and the international flatness index.

This application provides a control method, device, and vehicle for a fully active suspension. The fully active suspension includes multiple sub-suspensions. The control method includes: acquiring the internal pressure of the air springs of the sub-suspensions; calculating the sprung mass based on the internal pressure and a pre-stored effective cross-sectional area of ​​the air springs; acquiring the vertical vibration acceleration at the current moment at the sub-suspension; calculating the theoretical active force based on the sprung mass and the vibration acceleration; and sending a control command based on the theoretical active force to apply the theoretical active force to the sub-suspensions. The control method, device, and vehicle for the fully active suspension provided by this application are simple and convenient, and can quickly and effectively calculate the theoretical active force to ensure that the actual active force of the sub-suspensions reaches the theoretical active force, thereby reducing vehicle vibration, improving vehicle ride comfort, and providing a superior user experience.

The application provides a vehicle damping control method and device, electronic equipment and readable medium, which are applied to a continuous damping control system, the vehicle damping is associated with the control strength of the vehicle body posture; the vehicle speed, the pitch angular velocity, the roll angular velocity and the sprung mass acceleration of the vehicle in the driving process are obtained; the driving road surface condition of the vehicle is determined according to the sprung mass acceleration and / or the vehicle speed; the driving road surface condition is used to indicate whether the driving road surface of the vehicle is a flat road surface and whether there is a vehicle impact object on the driving road surface; the vehicle body posture state of the vehicle is determined based on the pitch angular velocity and / or the roll angular velocity; the vehicle body posture state is used to indicate whether the vehicle body posture of the vehicle has a risk of losing control; whether the vehicle satisfies the damping improvement condition is judged based on the driving road surface condition, the vehicle speed and the vehicle body posture state; if the vehicle satisfies the damping improvement condition, the control strength of the vehicle on the vehicle body posture is improved by improving the damping of the vehicle, and the comfort on the flat road surface is ensured not to be deteriorated.

The present application provides a control method, device, and storage medium for a shock absorber in a vehicle suspension. A suspension vibration monitor collects a first vibration acceleration of the sprung mass in the vertical direction and a second vibration acceleration of the unsprung mass in the vertical direction. A processor determines the suspension vibration state parameters, the shock absorber expansion and contraction velocity, and the road surface height based on the first and second vibration accelerations. A road surface state determiner determines the road surface type based on the road surface height. A damping force calculator determines a target damping force based on the suspension vibration state parameters, the shock absorber expansion and contraction velocity, and the road surface type, while also considering the damping force and damping coefficient threshold ranges. A drive current calculator determines a target drive current based on the shock absorber expansion and contraction velocity, the target damping force, and the shock absorber characteristic curve. The control method effectively avoids transient jumps in damping force and reduces the vertical vibration acceleration of the vehicle body at different excitation frequencies, thereby improving driver and passenger comfort.

The application discloses a power flow based dynamic inertia suspension control method, comprising the following steps: step 1, establishing a dynamic inertia suspension structure and building a dynamic inertia suspension model; step 2, calculating the vibration power flowing into the dynamic inertia suspension; step 3, selecting a sprung mass as a vibration isolation object; step 4, determining the power flow based dynamic inertia suspension control method; step 5, determining dynamic inertia suspension performance indexes and comprehensive indexes; step 6, optimizing and determining dynamic inertia suspension parameters according to the dynamic inertia suspension performance indexes; and step 7, semi-actively realizing the power flow based dynamic inertia suspension control method. The control method greatly improves the dynamic inertia suspension performance; compared with an active suspension with high energy consumption, the semi-active realization has much lower energy consumption, reduces energy consumption, and meets the theme of energy saving, emission reduction and green environmental protection.

A ride height control system is described The ride height control system is for use in a vehicle comprising an active downforce system configured to generate a downforce acting on the vehicle. The ride height control system comprises a suspension system for supporting a sprung mass of the vehicle, wherein the suspension system comprises an actuator operable to control a ride height of the vehicle. A sensor is configured to detect a parameter indicative of a downforce generated by the active downforce system. The ride height control system further comprises a controller configured to operate the actuator as a function of an output signal from the sensor.